Vertical partitioning algorithms for database design
ACM Transactions on Database Systems (TODS)
Fragmentation: a technique for efficient query processing
ACM Transactions on Database Systems (TODS)
Principles of distributed database systems (2nd ed.)
Principles of distributed database systems (2nd ed.)
A horizontal fragmentation algorithm for the fact relation in a distributed data warehouse
Proceedings of the eighth international conference on Information and knowledge management
An object-oriented database design for improved performance
Data & Knowledge Engineering
Horizontal data partitioning in database design
SIGMOD '82 Proceedings of the 1982 ACM SIGMOD international conference on Management of data
Approximate Query Answering Using Data Warehouse Striping
Journal of Intelligent Information Systems - Special issue on data warehousing and knowledge discovery
An Iterative Method for Distributed Database Design
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
Gene Clustering Using Self-Organizing Maps and Particle Swarm Optimization
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Swarm Optimisation as a New Tool for Data Mining
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Arranging fact table records in a data warehouse to improve query performance
Computers and Operations Research
The Data Warehouse Lifecycle Toolkit
The Data Warehouse Lifecycle Toolkit
An evolutionary approach to schema partitioning selection in a data warehouse
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
A genetic algorithm-based clustering approach for database partitioning
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Ant colony optimisation for vehicle traffic systems: applications and challenges
International Journal of Bio-Inspired Computation
Hi-index | 0.00 |
Data fragmentation is one of the physical database design techniques that improves significantly data management, accessibility and query execution time. Optimal fragmentation schema is designed from workload gathered from data exploitation. However, adapting this technique to data warehouse should consider the specific characteristics of data warehouse such as the complexity of OLAP queries and the dynamicity of data model and workload. In this paper, data fragmentation is formalised as an optimisation problem with constraint and we propose the application of particle swarm optimisation (PSO) technique to design an optimal fragmentation schema.